146 citations · 176 across the 17 of their papers we have counts for
8 papers · 1 filter
Stability of Neural Networks on Riemannian Manifolds
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convolutional Neural Networks (CNNs) have been applied to data with underlying non-Euclidean structures and have achieved impressive successes. This brings the stability analysis o…
Optimal Wireless Resource Allocation with Random Edge Graph Neural Networks
Mark Eisen, Alejandro Ribeiro
We consider the problem of optimally allocating resources across a set of transmitters and receivers in a wireless network. The resulting optimization problem takes the form of con…
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Radio on Free Space Optics (RoFSO), as a universal platform for heterogeneous wireless services, is able to transmit multiple radio frequency signals at high rates in free space op…
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning
Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti +1
We consider the problem of scheduling transmissions over low-latency wireless communication links to control various control systems. Low-latency requirements are critical in devel…
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
Luana Ruiz, Fernando Gama, Antonio G. Marques +1
Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these grap…
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marques +1
Network topology inference is a prominent problem in Network Science. Most graph signal processing (GSP) efforts to date assume that the underlying network is known, and then analy…